Research Fellow - AI & Data Analytics (AIDA), Radiation Oncology

Location: Rochester
Posted on: June 23, 2025

Job Description:

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights • Medical: Multiple plan options. • Dental: Delta Dental or reimbursement account for flexible coverage. • Vision: Affordable plan with national network. • Pre-Tax Savings: HSA and FSAs for eligible expenses. • Retirement: Competitive retirement package to secure your future. Responsibilities The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology is hiring a Research Fellow to help advance the next generation of AI in cancer care (PI: Dr. Andrew Foong). Were seeking an exceptional researcher – technically outstanding, intellectually curious, and motivated by real-world impact. You’ll join a uniquely positioned institution: Mayo Clinic treats over 1.4 million patients annually and is the most trusted name in medicine. The department has access to rich, high-quality cancer treatment data and strong institutional support for innovation. Whether it’s building models to personalize radiation therapy or discovering new insights from multi-modal clinical data, your work will span both foundational research and real-world translation. Youll help bring cutting-edge AI tools into the clinic and shape how technology improves outcomes for cancer patients. We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter – to patients, to clinicians, and to the future of healthcare. What You’ll Do • Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success will be measured by present-day clinical impact. • Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of computer scientists, physicians, medical physicists, and software engineers. • Drive growth and visibility: Help shape the direction and culture of AIDA as a new and expanding team. You’ll play a key role in securing internal and external funding through compelling grant proposals and strategic promotion of our work. Qualifications • PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. • Strong background in deep learning (e.g., CNNs, transformers) and familiarity with emerging techniques for reasoning and compositionality with large language models. • Strong Python and ML ecosystem skills (e.g., PyTorch, JAX, scikit-learn, etc.). • Skilled in writing and passionate about presenting scientific ideas clearly and compellingly. • Self-motivated, execution-focused, and intellectually independent. • Stays goal-oriented over method-oriented, and isn’t afraid of unglamorous but high-value work when it matters. • Comfortable working with real-world, messy, heterogeneous healthcare data. • A team player who thrives in interdisciplinary environments. Bonus If You Have • Prior experience with AI in healthcare settings (clinical data, imaging, EHR). • Prior experience with radiation oncology. • Strong software engineering practices (Git, testing, reproducibility). • Experience writing or contributing to successful grant proposals. • Demonstrated excellence in research – e.g., strong publication record, impactful projects, open-source contributions.

Keywords: , Woodbury , Research Fellow - AI & Data Analytics (AIDA), Radiation Oncology, Healthcare , Rochester, Minnesota